Maximum power extraction from wind turbines using a fault-tolerant fractional-order nonsingular terminal sliding mode controller

Yashar Mousavi *, Geraint P. Bevan, Ibrahim B. Kucukdemiral, Afef Fekih

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)
155 Downloads (Pure)

Abstract

This work presents a nonlinear control approach to maximise the power extraction of wind energy conversion systems (WECSs) operating below their rated wind speeds. Due to nonlinearities associated with the dynamics of WECSs, the stochastic nature of wind, and the inevitable presence of faults in practice, developing reliable fault-tolerant control strategies to guarantee maximum power production of WECSs has always been considered important. A fault-tolerant fractional-order nonsingular terminal sliding mode control (FNTSMC) strategy to maximize the captured power of wind turbines (WT) subjected to actuator faults is developed. A nonsingular terminal sliding surface is proposed to ensure fast finite-time convergence, whereas the incorporation of fractional calculus in the controller enhances the convergence speed of system states and simultaneously suppresses chattering, resulting in extracted power maximisation by precisely tracking the optimum rotor speed. Closed-loop stability is analysed and validated through the Lyapunov stability criterion. Comparative numerical simulation analysis is carried out on a two-mass WT, and superior power production performance of the proposed method over other methods is demonstrated, both in fault-free and faulty situations.

Original languageEnglish
Article number5887
JournalEnergies
Volume14
Issue number18
Early online date17 Sept 2021
DOIs
Publication statusPublished - Sept 2021

Keywords

  • fractional nonsingular terminal sliding mode control
  • wind turbine
  • fault tolerant control
  • maximum power extraction

ASJC Scopus subject areas

  • Control and Optimization
  • Energy (miscellaneous)
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Fuel Technology
  • Renewable Energy, Sustainability and the Environment

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